In this work, an image translation model is implemented to produce synthetic amyloid-beta PET images from structural MRI that are quantitatively accurate. Image pairs of amyloid-beta PET and structural MRI were used to train the model. We found that the synthetic PET images could be produced with a high degree of similarity to truth in terms of shape, contrast and overall high SSIM and PSNR. This work demonstrates that performing structural to quantitative image translation is feasible to enable the access amyloid-beta information from only MRI.

翻译：本研究实现了一种图像翻译模型，用于从结构MRI生成定量准确的合成淀粉样蛋白-β PET图像。采用淀粉样蛋白-β PET与结构MRI的图像配对数据对模型进行训练。研究发现，合成PET图像在形状、对比度方面与真实图像具有高度相似性，且整体结构相似性指数（SSIM）和峰值信噪比（PSNR）表现优异。本研究表明，实现结构图像到定量图像的翻译是可行的，从而能够仅通过MRI获取淀粉样蛋白-β信息。